World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
24128
World Ranking
2834
National Ranking
1403

Overview

Xia Hu is affiliated with Rice University in the United States and has a research profile focused primarily on computer science, with a significant emphasis on artificial intelligence and related subfields. Their work spans areas including artificial intelligence, computer vision and pattern recognition, signal processing, information systems, and molecular biology.

The scientist's research topics include advanced graph neural networks, explainable artificial intelligence (XAI), topic modeling, adversarial robustness in machine learning, anomaly detection techniques, machine learning and data classification, and machine learning applications in healthcare.

Among Xia Hu's notable recent publications are:

  • "Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond," 2024, ACM Transactions on Knowledge Discovery from Data
  • "Model complexity of deep learning: a survey," 2021, Knowledge and Information Systems
  • "Fairness in Deep Learning: A Computational Perspective," 2020, IEEE Intelligent Systems
  • "Leveraging Generative AI and Large Language Models: A Comprehensive Roadmap for Healthcare Integration," 2023, Healthcare
  • "Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond," 2023, arXiv (Cornell University)

Xia Hu has collaborated extensively with a core group of coauthors, including Daochen Zha, Mengnan Du, Na Zou, Kaixiong Zhou, and Ninghao Liu, reflecting ongoing partnerships in various research projects.

Their research has been disseminated widely, with frequent publications in venues such as arXiv (Cornell University), ACM SIGKDD Explorations Newsletter, Proceedings of the AAAI Conference on Artificial Intelligence, Frontiers in Big Data, and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Best Publications

  • Neural Collaborative Filtering

    Xiangnan He;Lizi Liao;Hanwang Zhang;Liqiang Nie

  • Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

    Haofan Wang;Zifan Wang;Mengnan Du;Fan Yang

  • Techniques for interpretable machine learning

    Mengnan Du;Ninghao Liu;Xia Hu

  • Auto-Keras: An Efficient Neural Architecture Search System

    Haifeng Jin;Qingquan Song;Xia Hu

  • Social recommendation: a review

    Jiliang Tang;Xia Hu;Huan Liu

  • Exploring temporal effects for location recommendation on location-based social networks

    Huiji Gao;Jiliang Tang;Xia Hu;Huan Liu

  • Label Informed Attributed Network Embedding

    Xiao Huang;Jundong Li;Xia Hu

  • Unsupervised sentiment analysis with emotional signals

    Xia Hu;Jiliang Tang;Huiji Gao;Huan Liu

  • Exploiting social relations for sentiment analysis in microblogging

    Xia Hu;Lei Tang;Jiliang Tang;Huan Liu

  • XGNN: Towards Model-Level Explanations of Graph Neural Networks

    Hao Yuan;Jiliang Tang;Xia Hu;Shuiwang Ji

  • Content-aware point of interest recommendation on location-based social networks

    Huiji Gao;Jiliang Tang;Xia Hu;Huan Liu

  • Attributed Network Embedding for Learning in a Dynamic Environment

    Jundong Li;Harsh Dani;Xia Hu;Jiliang Tang

  • Model complexity of deep learning: a survey

    Xia Hu;Lingyang Chu;Jian Pei;Weiqing Liu

  • Exploiting homophily effect for trust prediction

    Jiliang Tang;Huiji Gao;Xia Hu;Huan Liu

  • Exploiting internal and external semantics for the clustering of short texts using world knowledge

    Xia Hu;Nan Sun;Chao Zhang;Tat-Seng Chua

  • Accelerated attributed network embedding

    Xiao Huang;Jundong Li;Xia Hu

  • Social media for intelligent public information and warning in disasters: An interdisciplinary review

    Cheng Zhang;Chao Fan;Wenlin Yao;Xia Hu

  • An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief

    Ghazaleh Beigi;Xia Hu;Ross Maciejewski;Huan Liu

  • Tensor Completion Algorithms in Big Data Analytics

    Qingquan Song;Hancheng Ge;James Caverlee;Xia Hu

  • Text Analytics in Social Media

    Xia Hu;Huan Liu

  • Exploiting local and global social context for recommendation

    Jiliang Tang;Xia Hu;Huiji Gao;Huan Liu

Frequent Co-Authors

Huan Liu
Huan Liu Arizona State University
Jiliang Tang
Jiliang Tang Michigan State University
Jundong Li
Jundong Li University of Virginia
Shuiwang Ji
Shuiwang Ji Texas A&M University
Zhoujun Li
Zhoujun Li Beihang University
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
James Caverlee
James Caverlee Texas A&M University
Suhang Wang
Suhang Wang Pennsylvania State University
Jingren Zhou
Jingren Zhou Alibaba Group (China)
Philip S. Yu
Philip S. Yu University of Illinois at Chicago

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